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Build, maintain, and run databases that are easy to scale and quick to query—all with ScyllaDB.ScyllaDB in Action is your guide to everything you need to know about ScyllaDB, from your very first queries to running it in a production environment. It starts you with the basics of creating, reading, and deleting data and expands your knowledge from there. You’ll soon have mastered everything you need to build, maintain, and run an effective and efficient database. Inside ScyllaDB in Action you’ll learn how to: • Read, write, and delete data in ScyllaDB • Design database schemas for ScyllaDB • Write performant queries against ScyllaDB • Connect and query a ScyllaDB cluster from an application • Configure, monitor, and operate ScyllaDB in production This book teaches you ScyllaDB the best way—through hands-on examples. Dive into the node-based architecture of ScyllaDB to understand how its distributed systems work, how you can troubleshoot problems, and how you can constantly improve performance. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book ScyllaDB in Action demonstrates how to integrate ScyllaDB into data-intensive applications. You’ll work through a hands-on project step by step as you use ScyllaDB to store data and learn to configure, monitor, and safely operate a distributed database. Along the way, you’ll discover how ScyllaDB’s unique “shard per core” approach helps you deliver impressive performance in real-time systems. About the reader For backend and infrastructure engineers who know the basics of SQL. About the author Bo Ingram is a staff software engineer at Discord working in database infrastructure. He has extensive experience working with ScyllaDB as an operator and developer. The technical editor on this book was Piotr Wiktor Sarna.

Don’t be perplexed by data structures! This fun, friendly, and fully illustrated guide makes it easy to learn useful data structures you’ll put to work every day.Grokking Data Structures makes it a breeze to learn the most useful day-to-day data structures. You’ll follow a steady learning path from absolute basics to advanced concepts, all illustrated with fun examples, engaging industry stories, and hundreds of graphics and cartoons. In Grokking Data Structures you’ll learn how to: • Understand the most important and widely used data structures • Identify use cases where data structures make the biggest difference • Pick the best data structure solution for a coding challenge • Understand the tradeoffs of data structures and avoid catastrophes • Implement basic data collections like arrays, linked lists, stacks, and priority queues • Use trees and binary search trees (BSTs) to organize data • Use graphs to model relationships and learn about complex data • Efficiently search by key using hash tables and hashing functions • Reason about time and memory requirements of operations on data structures Grokking Data Structures carefully guides you from the most basic data structures like arrays or linked lists all the way to powerful structures like graphs. It’s perfect for beginners, and you won’t need anything more than high school math to get started. Each data structure you encounter comes with its own complete Python implementation so you can start experimenting with what you learn right away. Foreword by Daniel Zingaro. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Data structures are vital for shaping and handling your data organization. They’re also an important part of most IT job interviews! Whether you’re new to data structures or just dusting off what you learned in school, this book will get you up to speed fast with no advanced math, abstract theory, or complicated proofs. About the book Grokking Data Structures introduces common and useful data structures that every developer needs to know. Real-world examples show you how data structures are used in practice, from making your searches faster to handling triage in an emergency room. You’ll love the fun cartoons, insightful stories, and useful Python code samples that make data structures come alive. And unlike jargon-laden academic texts, this book is easy-to-read and practical. What's inside • Fast searches using hash tables • Trees and binary search trees (BSTs) to organize data • Use graphs to model complex data • The best data structures for a coding challenge About the reader For readers who know the basics of Python. A perfect companion to Grokking Algorithms! About the author Marcello La Rocca is a research scientist and a full-stack engineer. He has contributed to large-scale web applications and machine learning infrastructure at Twitter, Microsoft, and Apple. The technical editor on this book was Beau Carnes. Table of Contents 1 Introducing data structures: Why you should learn about data structures 2 Static arrays: Building your first data structure 3 Sorted arrays: Searching faster, at a price 4 Big-O notation: A framework for measuring algorithm efficiency 5 Dynamic arrays: Handling dynamically sized datasets 6 Linked lists: A flexible dynamic collection 7 Abstract data types: Designing the simplest container—the bag 8 Stacks: Piling up data before processing it 9 Queues: Keeping information in the same order as it arrives 10 Priority queues and heaps: Handling data according to its priority 11 Binary search trees: A balanced container 12 Dictionaries and hash tables: How to build and use associative arrays 13 Graphs: Learning how to model complex relationships in data

Engineering Graphics Essentials with AutoCAD 2025 Instruction gives students a basic understanding of how to create and read engineering drawings by presenting principles in a logical and easy to understand manner.

An exploration of connected intelligent edge, artificial intelligence, and machine learning for B5G/6G architecture Artificial Intelligence for Future Networks illuminates how artificial intelligence (AI) and machine learning (ML) influence the general architecture and improve the usability of future networks like B5G and 6G through increased system capacity, low latency, high reliability, greater spectrum efficiency, and support of massive internet of things (mIoT). The book reviews network design and management, offering an in-depth treatment of AI oriented future networks infrastructure. Providing up-to-date materials for AI empowered resource management and extensive discussion on energy-efficient communications, this book incorporates a thorough analysis of the recent advancement and potential applications of ML and AI in future networks. Each chapter is written by an expert at the forefront of AI and ML research, highlighting current design and engineering practices and emphasizing challenging issues related to future wireless applications. Some of the topics explored in Artificial Intelligence for Future Networks include: Signal processing and detection, covering preprocess and level signals, transform signals and extract features, and training and deploying AI models and systemsChannel estimation and prediction, covering channel characteristics, modeling, and classic learning-aided and AI-aided estimation techniquesResource allocation, covering resource allocation optimization and efficient power consumption for different computing paradigms such as Cloud, Edge, Fog, IoT, and MECAntenna design using AI, covering basics of antennas, EM simulator/optimization algorithms, and surrogate modeling Identifying technical roadblocks and sharing cutting-edge research on developing methodologies, Artificial Intelligence for Future Networks is an essential reference on the subject for professionals and researchers involved in the field of wireless communications and networks, along with graduate and PhD students in electrical and computer engineering programs of study.

Learn the 5% of Python programming knowledge which exponentially accelerates your learning curve for the remaining 95%. Alleviate the overwhelm of "too much to learn, not enough time". This book cuts through the noise to focus on the "accelerators" that rapidly move the needle. Discover Python's key abstractions which enable and power the most important Python libraries, including Pandas; Django; Flask; SQLAlchemy; Twisted; Pytest; and more. Top Python programming performance is closer than you think. The difference between the best and the rest lies in the distinctions they make, the mental models they leverage, and their ability to perceive what others cannot. Powerful Python cuts through the noise to focus on these performance accelerators which rapidly improve your coding level and yield the most benefit on real-world production engineering and data teams. After a brief tour of the most necessary programming fundamentals; coding techniques and libraries including Pandas, Django, Flask, SQLAlchemy, Twisted, and Pytest are explored to unlock huge capabilities for the reader. Complex patterns are explained with only the minimum detail needed for use, and frequent code examples are used to show all methods in practice. For those ready to move beyond junior programmer stage, this book provides the 5% of knowledge that makes the remaining 95% of the journey a walk in the park.

This book is a guide to DevOps and software delivery: that is, a guide to the numerous tools and techniques that are required to take that application code and run it and maintain it in production, where it can generate value for your users and your company on an ongoing basis. This includes going through all the modern practices for deploying applications and microservices to the cloud, managing your infrastructure as code, automating your software delivery lifecycle in a CI/CD pipeline, configuring networking, setting up data stores, and hooking up monitoring.

DuckDB is an open source in-process database created for OLAP workloads. It provides key advantages that separate this database from more mainstream OLAP solutions, including embeddability, compatibility with SQL, optimization for fast and efficient analytics, and integration with Python. This practical book shows you how DuckDB leverages Python libraries and tools for data analytics, machine learning, and AI. Author Wei-Meng Lee shows developers, data engineers, data analysts, and data scientists how to get started. You'll learn the primary features and functions of DuckDB, explore use cases and best practices, and examine practical examples of how DuckDB can be used for a variety of data analytics tasks. You'll also dive into specific topics including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize DuckDB data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL. You'll also explore: The purpose of DuckDB and its main functions How to conduct data analytics tasks using DuckDB Methods for integrating DuckDB with pandas, Polars, and JupySQL How to use DuckDB to query your data Ways to perform spatial analytics using DuckDB's spatial extension How to work with a diverse range of data including Parquet, CSV, and JSON Wei-Meng Lee is a technologist and founder of Developer Learning Solutions, a company that provides hands-on training on the latest technologies.

Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient.Author Brendan BurnsDirector of Engineering at Microsoft Azuredemonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system.Understand how patterns and reusable components enable the rapid development of reliable distributed systemsUse the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machineExplore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the componentsLearn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows

Transformer-based language models are powerful tools for solving a variety of language tasks and represent a phase shift in the field of natural language processing. But the transition from demos and prototypes to full-fledged applications has been slow. With this book, you'll learn the tools, techniques, and playbooks for building useful products that incorporate the power of language models. Experienced ML researcher Suhas Pai provides practical advice on dealing with commonly observed failure modes and counteracting the current limitations of state-of-the-art models. You'll take a comprehensive deep dive into the Transformer architecture and its variants. And you'll get up-to-date with the taxonomy of language models, which can offer insight into which models are better at which tasks. You'll learn: Clever ways to deal with failure modes of current state-of-the-art language models, and methods to exploit their strengths for building useful products How to develop an intuition about the Transformer architecture and the impact of each architectural decision Ways to adapt pretrained language models to your own domain and use cases How to select a language model for your domain and task from among the choices available, and how to deal with the build-versus-buy conundrum Effective fine-tuning and parameter efficient fine-tuning, and few-shot and zero-shot learning techniques How to interface language models with external tools and integrate them into an existing software ecosystem

Take your web development skills from browser to server with Node.js, the popular backend framework used by more than 10 million developers at companies like Amazon, Netflix, and LinkedIn, to name just a few. If you're comfortable working with JavaScript, this practical guide from Samer Buna will show you how to effectively build and maintain even the most complex Node.js applications. Following a hands-on, project-based approach, you'll move from key fundamentals to advanced concepts such as modules, packages, event-driven architecture, streams, child processes, scaling, testing, deployment, and much more--all while focusing on what actually matters in practice. Explore Node.js modules and packages Understand Node.js's event-driven architecture, streams, and child processes Create, test, and maintain efficient and scalable Node.js applications

Explores the transformative potential of ML technologies in agriculture. It delves into specific applications, such as crop monitoring, disease detection, and livestock management, demonstrating how AI/ML can optimize resource management and improve overall productivity in farming practices.

The increasing demand for advanced manufacturing processes is impacting the Earth's resources, and its industrial practices are producing negative impacts on the environment, such as carbon footprints, energy resources, waste, etc. The trend of advanced manufacturing coincides with the acceleration of innovations in sustainable techniques.

The book offers a modern exploration of the intersection of technology and education. It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education.

The book offers a modern exploration of the intersection of technology and education. It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education.

The purpose of this book is to systematize knowledge about the practical application and importance of innovative solutions in the economic and social fields.

As Multi-Criteria Decision-Making (MCDM) continues to grow and evolve, Machine Learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design.

This book explores the effects of the Network and Information Security Directive upon EU governance of cybersecurity. It analyses the impact of constraining factors originating from NIS-related domestic policies across various European nations. It will be of interest to researchers with an interest in EU Law and cybersecurity.

Beyond Virtual Production brings together a range of creative practice research projects that have been undertaken in The Void, an early-adopter university-based virtual production studio at Flinders University in South Australia.

Beyond Virtual Production brings together a range of creative practice research projects that have been undertaken in The Void, an early-adopter university-based virtual production studio at Flinders University in South Australia.

This concise volume offers an accessible introduction to state-of-the-art AI language models, providing a platform for their use in textual interpretation across the humanities and social sciences.

In providing an analysis of the grammar of the dialect of seven counties along the Yellow River, this two-volume set synchronically and diachronically studies the Jin dialect of China's Northern Shaanxi Province.

This book is the first volume of a two-volume set that synchronically and diachronically studies the Jin dialect in Northern Shaanxi Province in China, with a focus on the grammatical features of the pronouns, the aspect and appearance, and the tense system of the dialect.